Development and validation of a computer expertise questionnaire for older adults.

Prior computer expertise represents one of the most important predictors of performance when interacting with ICT (Information and Communication Technologies) and acquiring computer skills. Due to demographic changes, the older adult will become increasingly important as a potential user. However, t...

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Publicado en:Behaviour & Information Technology Vol. 27; no. 4; pp. 325 - 330
Autores principales: Arning K, Ziefle M
Formato: questionnaire/scale research tables/charts Journal Article
Publicado: Taylor & Francis Ltd Jul/Aug2008
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Development and validation of a computer expertise questionnaire for older adults.
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          Arning K
          Ziefle M
        affil: Department of Psychology, Jagerstrasse 17-19, Aachen, RWTH Aachen University, Germany
      sug:
        subj:
          Computers and Computerization Utilization
          Instrument Validation
          Adult
          Age Factors
          Aged
          Coefficient alpha
          Computers, Hand-Held
          Descriptive Statistics
          Instrument Construction
          Middle Age
          Multiple Regression
          Psychological Tests
          Validation Studies
          Human
          Adult: 19-44 years
          Aged: 65+ years
          Middle Aged: 45-64 years
      ab: Prior computer expertise represents one of the most important predictors of performance when interacting with ICT (Information and Communication Technologies) and acquiring computer skills. Due to demographic changes, the older adult will become increasingly important as a potential user. However, there is a lack of instruments for the assessment of computer expertise in older adults, especially for novice users with restricted prior computer knowledge. A computer expertise (CE) questionnaire for older adults was developed, analysed (Study I) and validated (Study II). Item-analysis showed that the CE-questionnaire is particularly appropriate for the computer knowledge level of older adults and measures computer expertise sufficiently. Furthermore, it was found that computer experience (in terms of frequency of computer usage) is a poor predictor of actual computer performance, which has important implications for the theoretical conceptualization of computer expertise and its assessment.
      pubtype: Academic Journal
      doctype:
        questionnaire/scale
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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